Search

Browsing Международные конференции by Subject "neural networks"

Now showing items 1-10 of 10

    • A weighting function approach for neural network nonlinear time series analysis of satellite remote sensing of rainstorms 

      Lisheng Xu; Jilie Ding; Xiaobo Deng (BrSTU, 2006)
      One of frequently used neural networks, i.e., a radial-based function network (RBFN) with Gaussian activation functions is employed to study the nonlinear time series by carrying out the characterization experiments for a GMS- 5 satellite 11 µm IR observations of rainstorm process. The proposed ...

      2023-11-27

    • An Approach to Interplanetary Shocks Prediction Using Single ACE/EPAM Channel Data 

      Turchcnko, Volodymyr; Demchuk, Viktor; Sachenko, Anatoly; Veremeyenko, Yuri (BrSTU, 2006)
      An approach to prediction of the arrival time of interplanetary shocks using neural networks based on the data gathered from single EPAM (Electron, Proton and Alpha Monitor) channel o f NASA's ACE (Advanced Composition Explorer) spacecraft is proposed in this paper. A short description of ACE spacecraft ...

      2023-11-24

    • Comparative Analysis of Neural Networks and Statistical Approaches to Remote Sensing Image Classification 

      Kussul, Nataliya; Skakun, Serhiy; Kussul, OIga (BrSTU, 2006)
      This paper examines different approaches to remote sensing images classification. Included in the study are statistical approach, namely Gaussian maximum likelihood classifier, and two different neural networks paradigms: multilayer pcreeptron trained with EDBD algorithm, and ARTMAP neural network. ...

      2023-11-24

    • International Conference on Neural Networks and Artificial Intelligence 

      Golovko, Vladimir Adamovich; Akira, Imada; Sadikhov, Rauf Khosrovovich; Dunets, Andrey Petrovich (BrSTU, 2006)
      This book collected the papers of the 4th International Conference on Neural Networks and Artificial Intelligence. They are arranged in following streams: Cyberspace Security and Defense, Neural Robotics, Neural Diagnosis, Neural Prediction, Pattern Recognition, Image Processing, Pattern Classification. ...

      2023-11-23

    • Neural Network Techniques for Intrusion Detection 

      Golovko, Vladimir; Vaitsekhovich, Leanid (BrSTU, 2006)
      This paper presents the neural network approaches for building of intrusion detection system (IDS). Existing intrusion detection approaches have same limitations, namely low detection time and recognition accuracy. In order to overcome these limitations we propose several neural network systems for ...

      2023-11-29

    • Simulation Modelling of Neural Control System for Coal Mine Ventilation 

      Turchenko, Iryna; Kochan, VoIodymyr; Sachenko, Anatoly (BrSTU, 2006)
      In this paper it is developed simple simulation model of a mine section in order to model sequential neural control scheme of the mine airflow. A technique of neural network's training set forming, neural network structure and a training algorithm are described. The results of simulation modeling of ...

      2023-11-28

    • Soft Computing as a solution to Time/ Cost Distributor 

      Nabil M. Hewahi (BrSTU, 2006)
      In this paper we present a theoretical model based on soft computing to distribute the time/cost among the industry/machine sensors or effectors based on the type of the application. One of the most unstudied significant work is to recognize which sensor in an industry for example has higher priority ...

      2023-11-27

    • View-Based Word Recognition System 

      Tabedzki, Marek; Khalid, Saeed (BrSTU, 2006)
      In this paper, a new method for word recognition and classification without segmentation is presented. The worked out algorithm is based on recognizing the whole word without separating it into letters. According to this algorithm, entire words are treated and analyzed as object images subject to ...

      2023-11-24

    • Классификация гидрографов весеннего половодья на основе искусственных нейронных сетей (на примере р. Припять) 

      Волчек, Александр Александрович; Шешко, Николай Николаевич; Костюк, Дмитрий Александрович; Петров, Дмитрий Олегович (БрГТУ, 2016)
      В статье представлены результаты исследования формы весеннего паводкового гидрографа для обучения искусственным нейронным сетям. Подход позволяет классифицировать формы гидрографа на основе вероятности возникновения расчетного потока. Подходы проверены по наблюдениям стока реки Припять. Результаты ...

      2019-11-19

    • Нейросетевые алгоритмы идентификации режимов функционирования аппаратуры по данным телеметрии 

      Марушко, Евгений Евгеньевич (БрГТУ, 2016)
      В работе предложены нейросетевые алгоритмы идентификации состояния подсистем космических аппаратов и режимов их функционирования по телеметрическим данным.

      2019-10-28